Top 14 products relevant to Python Tools, Software Libraries, and Scalability

RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.

Open Source

DataScience combines human intellect with machine-powered analysis to create actionable insights from complex data.

Figure Eight is the essential Human-in-the-Loop Machine Learning platform.

MLlib is Spark's machine learning (ML) library that make practical machine learning scalable & provides ML Algorithms.

The DimML programming language enables users to run any data solution on any website with only a single line of code.

GraphLab Create is an extensible machine learning framework that enables developers and data scientists to easily build and deploy apps.

DatumBox is a machine learning framework that can be applied to a wide variety of complex applications, though it's primarily used for social media analytics.

Open Source

Optimize Everything. Tune your experiments automatically to get better results, faster. A/B testing.

FlinkML is the Machine Learning (ML) library for Flink with a growing list of algorithms and contributors that aim to provide scalable ML algorithms.

Vowpal Wabbit is a machine learning system that pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

CloudForest allows multi-threaded ensembles of decision trees for machine learning in pure Go.

Open Source

Apache SystemML is a machine learning platform optimal for big data.

Open Source

Serial Metrics are a team of mathematicians, computer scientists, and data engineers working to automate the predictive modeling process.